<html><head><title>Censored Inverse Cumulative Probability Density Function of a gamlss.family  
Distribution</title>
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<table width="100%"><tr><td>cens.q(gamlss.cens)</td><td align="right">R Documentation</td></tr></table><object type="application/x-oleobject" classid="clsid:1e2a7bd0-dab9-11d0-b93a-00c04fc99f9e">
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<h2>Censored Inverse Cumulative Probability Density Function of a gamlss.family  
Distribution</h2>


<h3>Description</h3>

<p>
Creates the inverse cumulative density function from a current <code><a onclick="findlink('gamlss', 'gamlss.family.html')" style="text-decoration: underline; color: blue; cursor: hand">gamlss.family</a></code> 
distribution suitable for censored or interval response variable data.
This is a dummy function identical to the uncensored one but it is needed for 
consistency in centile estimation from censored data.
</p>


<h3>Usage</h3>

<pre>
cens.q(family = "NO", ...)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>family</code></td>
<td>
a <code><a onclick="findlink('gamlss', 'gamlss.family.html')" style="text-decoration: underline; color: blue; cursor: hand">gamlss.family</a></code> object, which is used to 
define the distribution and the link functions of the various parameters. 
The distribution families supported by <code>gamlss()</code> can be found in 
<code><a onclick="findlink('gamlss', 'gamlss.family.html')" style="text-decoration: underline; color: blue; cursor: hand">gamlss.family</a></code>.</td></tr>
<tr valign="top"><td><code>...</code></td>
<td>
for extra arguments </td></tr>
</table>

<h3>Details</h3>

<p>
This is dummy function, used only to calculate centiles from censored response 
variable.
This function is not supposed to be used on its own but is used by the function 
<code>gen.cens</code>.
</p>


<h3>Value</h3>

<p>
Returns a modified q family function.  
The argument of the original function q function are the same.</p>

<h3>Note</h3>

<p>
For an example see <code>gen.cens()</code>
</p>


<h3>Author(s)</h3>

<p>
Mikis Stasinopoulos <a href="mailto:d.stasinopoulos@londonmet.ac.uk">d.stasinopoulos@londonmet.ac.uk</a> and Bob Rigby <a href="mailto:r.rigby@londonmet.ac.uk">r.rigby@londonmet.ac.uk</a>
</p>


<h3>References</h3>

<p>
Rigby, R. A. and  Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape,(with discussion), 
<EM>Appl. Statist.</EM>, <B>54</B>, part 3, pp 507-554.
</p>
<p>
Stasinopoulos D. M., Rigby R.A. and Akantziliotou C. (2006) Instructions on how to use the GAMLSS package in R.
Accompanying documentation in the current GAMLSS  help files, (see also  <a href="http://www.gamlss.com/">http://www.gamlss.com/</a>).
</p>
<p>
Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R.
<EM>Journal of Statistical Software</EM>, Vol. <B>23</B>, Issue 7, Dec 2007, <a href="http://www.jstatsoft.org/v23/i07">http://www.jstatsoft.org/v23/i07</a>.
</p>


<h3>See Also</h3>

<p>
<code><a href="cens.d.html">cens.d</a></code>, <code><a href="cens.p.html">cens.p</a></code>, <code><a href="gen.cens.html">gen.cens</a></code>
</p>


<h3>Examples</h3>

<pre>#see the help for function cens for an example</pre>

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